Top AWS Jobs in Chennai

We are looking for a Full Stack Developer with 5+ years of experience in high-quality code, proficient in MERN, Python, and cloud services, to optimize scalable APIs and enhance development speed using AI tools.

Lead Java Engineer responsible for designing and building greenfield applications using modern Java (17/21/25) and Spring Boot ecosystem (Data JPA, Web, Batch). Apply Clean/Hexagonal/CQRS patterns, optimize performance, and work with CI/CD (Jenkins/Azure Pipelines/GitHub Actions). Familiarity with Kubernetes, load balancing, and cloud platforms (Azure/AWS) for deployments.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Design, develop, and deploy deep learning and computer vision models for fraud detection (including deepfake and synthetic data detection). Own production models, research new algorithms, deploy on AWS SageMaker or devices, monitor model performance, and collaborate with engineers and product managers in an Agile environment.

As an SDE III in MLOps, you'll enhance ML asset management, design infrastructure for ML model deployment, and optimize CI/CD pipelines for efficient performance.

Operate and scale low-latency, high-availability trading infrastructure; automate and manage IaC; monitor and respond to incidents; optimize system and network performance; implement secure CI/CD and IAM practices; collaborate with trading, engineering, and security teams; participate in rotational on-call support.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

The Solutions Engineer will support direct sales cycles, providing technical expertise and tailored solutions for customers, while collaborating closely with Sales, Product, and Engineering teams.

This role involves assisting in CI/CD pipeline development, configuration management, cloud platform work, and learning DevOps tools within a remote team.

The role involves architecting reliability solutions, incident management, promoting SRE practices, and mentoring engineers within the Site Reliability Engineering team.

Lead evaluation and maturation of disaster recovery posture, define DR standards, design multi-region and active-active architectures, drive DR roadmap, implement testing (game days/chaos), produce runbooks, recommend platform/tooling, and advise engineering/security teams on resilience and compliance.

Lead and evolve SRE best practices, observability, and incident response. Design and automate cloud infrastructure, Kubernetes platforms, and IaC. Mentor engineers, drive large platform initiatives, reduce operational toil, and improve reliability, scalability, performance, and security across services.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.

Design, configure, and extend Guidewire PolicyCenter functionality (submissions, quoting, issuance, renewals, cancellations). Develop GOSU-based rules, PCF UI, and PolicyCenter product/data models. Build SOAP/REST integrations, messaging (JMS), and integration plugins; support unit testing, SIT/UAT, performance tuning, and technical documentation. Collaborate with BAs, QA, architects, and offshore/onshore Agile teams.

As a Senior Site Reliability Engineer, you will design and implement scalable infrastructure solutions, enhance reliability and performance, and lead AI enablement efforts within the team.

Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.

Lead technical strategy for complex enterprise deals, engage senior security executives, design solution architectures and POCs, run discovery workshops and demos, address security and regulatory requirements, enable handoffs to implementation and Customer Success, influence product roadmap, and mentor solution engineers.

Deploy, configure, and support Harrison.ai enterprise solutions remotely; build and manage Ubuntu systems; implement integrations (REST, HL7); provide L2/L3 troubleshooting, customer training, documentation, and coordinate with internal teams and vendor partners.

Build and maintain customer-facing dashboard features across frontend and backend using React.js, Spring Boot, and Python. Develop REST APIs, data pipelines, and responsive UIs; participate in design, code reviews, testing, and production support to improve reliability and performance. Collaborate with Product and Design to deliver features and continuously improve developer productivity and application quality.

Provide DevOps/SRE/platforms support including ticket queue management, monitoring, and on-call rota for London/Bermuda. Build and maintain IaC and automation (Terraform, ARM), create YAML CI/CD pipelines in Azure DevOps, support Azure IaaS/PaaS/SaaS, manage server OS (Windows/Unix), and develop scripts (PowerShell, Bash, Python, CLI/REST).

Lead threat modeling for AWS applications, integrate security into cloud designs, assess and mitigate risks, automate security tooling, support incident response and vulnerability management, ensure compliance, and train/mentor engineering teams on AWS security best practices.

Design, build and maintain ETL mappings and data models; write SQL and Snowflake queries; manage ETL/infrastructure on AWS (EC2); use Informatica, Control-M and ServiceNow; script in Python/Shell/PowerShell; collaborate with onshore/offshore teams and define BI delivery strategy.

Senior software engineer responsible for automation and scripting across AWS (CLI/SDKs, Boto3), Groovy, CI/CD pipelines, CloudFormation, ML automation, and hands-on AWS services (EC2, S3, RDS, Lambda). Database background is a plus.